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检索条件"机构=Provincial Key Lab. for Computer Information Processing Technology in Jiangsu"
247 条 记 录,以下是191-200 订阅
Application of learning Vector quantization network on web pages classification in agricultural website
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Journal of information and Computational Science 2009年 第1期6卷 139-145页
作者: Fu, Zetian Wang, Chuanyi Zhao, Ming Liu, Lixin Zhang, Xiaoshuan China Agricultural University Beijing 100083 China Jiangsu Provincial Key Laboratory of Computer Information Processing Technology Suzhou University Suzhou 215000 China
VQ (Learning Vector Quantization) is kind of supervised and competitive learning artificial neural network and adopted in many domains, such as pattern categorization, products classification, mechanical detection. Th... 详细信息
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An Improved AODV Routing Protocol Based on Remaining Power and Fame
An Improved AODV Routing Protocol Based on Remaining Power a...
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International Conference on Electronic computer technology
作者: Daming Feng Yanqin Zhu Provincial Key Laboratory of Computer Information Processing Technology Soochow University Suzhou China Soochow University Suzhou Jiangsu CN
Almost all proposed routing protocols are based on minimum hops in mobile ad hoc network. But through the research on the real communication of wireless nodes, we find that sometimes the path which has the minimum hop... 详细信息
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A policy language for expressing access control properties in PDAC model
A policy language for expressing access control properties i...
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International Conference on computer Science & Education (ICCSE)
作者: Xian Wu Peide Qian School of Computer Science and Technology Jiangsu Provincial Key Laboratory for Computer Information Processing Technology Soochow University Suzhou China School of Computer Science and Technology Soochow University Suzhou China
An access control policy defines what is authorized, and an access control mechanism implements the policy to ensure that all accesses are in accordance with the underlying policy. Nowadays, many researcher are workin... 详细信息
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A Fast 2D Otsu Thresholding Algorithm Based on Improved Histogram
A Fast 2D Otsu Thresholding Algorithm Based on Improved Hist...
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Chinese Conference on Pattern Recognition (CCPR)
作者: Ningbo Zhu Gang Wang Gaobo Yang Weiming Dai School of Computer and Communication Hunan University Changsha Hunan China Provincial Key Laboratory for Computer Information Processing Technology Soochow University Soochow Jiangsu China
Otsu adaptive thresholding is widely used in classic image segmentation. Two-dimensional Otsu thresholding algorithm is regarded as an effective improvement of the original Otsu method. To reduce the high computationa... 详细信息
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Research of secure intranet/internet access platform based on ontology
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Journal of Networks 2009年 第10期4卷 1009-1016页
作者: Shen, Shigen Ye, Lihua Yue, Guangxue Yu, Fei College of Mathematics and Information Engineering Jiaxing University Jiaxing China College of Computer and Communication Hunan University Changsha China Department of Computer Science and Technology Huaihua University Huaihua China Jiangsu Provincial Key Laboratory of Computer Information Processing Technology Suzhou China
Faced with the general trend of centralization of information, the biggest challenge to enterprise is how to ensure that all fixed computers and different mobile devices anywhere can access securely and quickly enterp... 详细信息
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A Packet Loss Discrimination Algorithm in Wireless IP Networks
A Packet Loss Discrimination Algorithm in Wireless IP Networ...
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International Conference on Wireless Communications, Networking and Mobile Computing (WiCom)
作者: Hai-tao Zhao Yu-ning Dong Yang Li College of Communication and Information Engineering Nanjing University of Posts and Telecommunications Nanjing China Jiangsu Provincial Key Laboratory of Computer Information Processing Technology Suzhou University Suzhou China
In this paper, we propose an algorithm WMTA (wireless multimedia transmission algorithm) for multimedia transmission control over wireless-wired IP networks. The relationship between packet length and packet loss rate... 详细信息
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Linear support vector machine based on kernel function
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Journal of Computational information Systems 2009年 第4期5卷 1089-1095页
作者: Gao, Shang Hu, Xuekun Zhang, Zaiyue Cao, Cungen School of Computer Science and Engineering Jiangsu University of Science and Technology Zhenjiang 212003 China Provincial Key Laboratory of Computer Information Processing Technology Soochow University Suzhou 215006 China Institute of Computing Technology The Chinese Academy of Sciences Beijing 100080 China
Support vector machine is kind of novel machine learning method, based on statistical learning theory, which becomes the hotspot of machine learning because of its excellent learning performance. The method of support... 详细信息
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Exploiting constituent dependencies for tree kernel-based semantic relation extraction
Exploiting constituent dependencies for tree kernel-based se...
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22nd International Conference on Computational Linguistics, Coling 2008
作者: Qian, Longhua Zhou, Guodong Kong, Fang Zhu, Qiaoming Qian, Peide Jiangsu Provincial Key Lab. for Computer Information Processing Technology School of Computer Science and Technology Soochow University 1 Shizi Street Suzhou 215006 China
This paper proposes a new approach to dynamically determine the tree span for tree kernel-based semantic relation extraction. It exploits constituent dependencies to keep the nodes and their head children along the pa... 详细信息
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Context-Sensitive Convolution Tree Kernel for Pronoun Resolution  3
Context-Sensitive Convolution Tree Kernel for Pronoun Resolu...
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3rd International Joint Conference on Natural Language processing, IJCNLP 2008
作者: Zhou, GuoDong Kong, Fang Zhu, Qiaoming JiangSu Provincial Key Lab for Computer Information Processing Technology School of Computer Science and Technology Soochow Univ. Suzhou215006 China
This paper proposes a context-sensitive convolution tree kernel for pronoun resolution. It resolves two critical problems in previous researches in two ways. First, given a parse tree and a pair of an anaphor and an a... 详细信息
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Semi-Supervised Learning for Relation Extraction  3
Semi-Supervised Learning for Relation Extraction
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3rd International Joint Conference on Natural Language processing, IJCNLP 2008
作者: Zhou, Guo Dong Li, Jun Hui Qian, Long Hua Zhu, Qiaoming Jiangsu Provincial Key Lab for Computer Information Processing Technology School of Computer Science and Technology Soochow Univ. Suzhou215006 China
This paper proposes a semi-supervised learning method for relation extraction. Given a small amount of lab.led data and a large amount of unlab.led data, it first bootstraps a moderate number of weighted support vecto... 详细信息
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